pydantic-to-pyarrow

import pyarrow as pa from pydantic import BaseModel from typing import List, Optional from datetime import datetime from uuid import UUID from pydantic_to_pyarrow import get_pyarrow_schema class Address(BaseModel): street: str zip_code: int class Person(BaseModel): name: str age: int height_cm: Optional[float] is_active: bool created_at: datetime uuid_id: UUID tags: List[str] = [] address: Address # Convert the Pydantic model to a PyArrow Schema arrow_schema = get_pyarrow_schema(Person) print(arrow_schema) # Expected output (order of fields may vary slightly depending on Pydantic version): # name: string # age: int64 # height_cm: double # is_active: bool # created_at: timestamp[ns] # uuid_id: fixed_size_binary[16] # tags: list<item: string> # child 0, item: string # address: struct<street: string, zip_code: int64> # child 0, street: string # child 1, zip_code: int64